The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-19"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "4897492 (up from 4801943 yesterday: 1.99 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "323285 (up from 318481 yesterday: 1.51 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.6



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1528568 20260 1.34 91921 1574 1.74 6.01
Russia 299941 9263 3.19 2837 115 4.22 0.95
Brazil 271885 16517 6.47 17983 1130 6.71 6.61
United Kingdom 250138 2429 0.98 35422 546 1.57 14.16
Spain 232037 431 0.19 27778 69 0.25 11.97
Italy 226699 813 0.36 32169 162 0.51 14.19
France 180933 882 0.49 28025 -217 -0.77 15.49
Germany 177778 1227 0.69 8081 78 0.97 4.55
Turkey 151615 1022 0.68 4199 28 0.67 2.77
Iran 124603 2111 1.72 7119 62 0.88 5.71
India 106475 6147 6.13 3302 146 4.63 3.10
Peru 99483 4550 4.79 2914 125 4.48 2.93
China 84063 0 0.00 4638 0 0.00 5.52
Canada 80493 1082 1.36 6028 68 1.14 7.49
Saudi Arabia 59854 2509 4.38 329 9 2.81 0.55
Belgium 55791 232 0.42 9108 28 0.31 16.33
Mexico 54346 2713 5.25 5666 334 6.26 10.43
Chile 49579 3520 7.64 509 31 6.49 1.03
Netherlands 44449 108 0.24 5734 21 0.37 12.90
Pakistan 43966 1841 4.37 939 36 3.99 2.14
Qatar 35606 1637 4.82 15 0 0.00 0.04
Ecuador 34151 569 1.69 2839 40 1.43 8.31
Belarus 31508 936 3.06 175 4 2.34 0.56
Sweden 30799 422 1.39 3743 45 1.22 12.15
Switzerland 30618 21 0.07 1891 5 0.27 6.18
Portugal 29432 223 0.76 1247 16 1.30 4.24
Singapore 28794 451 1.59 22 0 0.00 0.08
Bangladesh 25121 1251 5.24 370 21 6.02 1.47
United Arab Emirates 25063 873 3.61 227 3 1.34 0.91
Ireland 24251 51 0.21 1561 14 0.90 6.44
Poland 19268 383 2.03 948 12 1.28 4.92
Ukraine 18876 260 1.40 548 13 2.43 2.90
Indonesia 18496 486 2.70 1221 30 2.52 6.60
South Africa 17200 767 4.67 312 26 9.09 1.81
Romania 17191 155 0.91 1137 17 1.52 6.61
Colombia 16935 640 3.93 613 21 3.55 3.62
Kuwait 16764 1073 6.84 121 3 2.54 0.72
Israel 16659 16 0.10 278 2 0.72 1.67
Japan 16367 62 0.38 768 19 2.54 4.69
Austria 16321 52 0.32 632 3 0.48 3.87
Egypt 13484 720 5.64 659 14 2.17 4.89
Dominican Republic 13223 498 3.91 441 7 1.61 3.34
Philippines 12942 224 1.76 837 6 0.72 6.47
Denmark 11242 76 0.68 551 3 0.55 4.90
Korea, South 11110 32 0.29 263 0 0.00 2.37
Serbia 10733 34 0.32 234 3 1.30 2.18
Panama 9867 141 1.45 281 2 0.72 2.85
Argentina 8809 438 5.23 393 11 2.88 4.46
Czechia 8647 61 0.71 302 5 1.68 3.49
Norway 8267 10 0.12 233 0 0.00 2.82
Afghanistan 7653 581 8.22 178 5 2.89 2.33
Bahrain 7532 348 4.84 12 0 0.00 0.16
Algeria 7377 176 2.44 561 6 1.08 7.60
Australia 7072 4 0.06 100 1 1.01 1.41
Morocco 7023 71 1.02 193 1 0.52 2.75
Malaysia 6978 37 0.53 114 1 0.88 1.63
Kazakhstan 6751 0 0.00 35 0 0.00 0.52
Nigeria 6401 226 3.66 192 1 0.52 3.00
Finland 6399 19 0.30 301 1 0.33 4.70
Moldova 6340 202 3.29 221 4 1.84 3.49
Ghana 6096 361 6.29 31 2 6.90 0.51
Oman 5671 292 5.43 27 2 8.00 0.48
Armenia 5041 218 4.52 64 3 4.92 1.27
Bolivia 4481 218 5.11 189 15 8.62 4.22
Luxembourg 3958 11 0.28 109 2 1.87 2.75
Iraq 3611 57 1.60 131 4 3.15 3.63
Hungary 3556 21 0.59 467 5 1.08 13.13
Cameroon 3529 0 0.00 140 0 0.00 3.97
Azerbaijan 3518 131 3.87 41 1 2.50 1.17
Thailand 3033 2 0.07 56 0 0.00 1.85
Honduras 2955 157 5.61 147 1 0.68 4.97
Guinea 2863 67 2.40 18 2 12.50 0.63
Uzbekistan 2855 64 2.29 13 0 0.00 0.46
Greece 2840 4 0.14 165 0 0.00 5.81
Sudan 2728 137 5.29 111 6 5.71 4.07
Senegal 2617 73 2.87 30 4 15.38 1.15
Bosnia and Herzegovina 2321 17 0.74 134 1 0.75 5.77
Bulgaria 2259 24 1.07 112 2 1.82 4.96
Croatia 2232 4 0.18 96 1 1.05 4.30
Cote d’Ivoire 2153 34 1.60 28 0 0.00 1.30
Guatemala 2133 221 11.56 43 8 22.86 2.02
Tajikistan 1936 207 11.97 41 0 0.00 2.12
Cuba 1887 6 0.32 79 0 0.00 4.19
North Macedonia 1839 22 1.21 106 2 1.92 5.76
Iceland 1802 0 0.00 10 0 0.00 0.55
Estonia 1791 7 0.39 64 0 0.00 3.57
Congo (Kinshasa) 1629 91 5.92 61 0 0.00 3.74
Djibouti 1618 100 6.59 7 0 0.00 0.43
Lithuania 1562 15 0.97 60 1 1.69 3.84
New Zealand 1503 4 0.27 21 0 0.00 1.40
Gabon 1502 70 4.89 12 1 9.09 0.80
Somalia 1502 47 3.23 59 2 3.51 3.93
El Salvador 1498 85 6.02 30 0 0.00 2.00
Slovakia 1495 0 0.00 28 0 0.00 1.87
Slovenia 1467 1 0.07 104 0 0.00 7.09
Kyrgyzstan 1243 27 2.22 14 0 0.00 1.13
Maldives 1143 37 3.35 4 0 0.00 0.35
Tunisia 1044 1 0.10 47 1 2.17 4.50
Guinea-Bissau 1038 6 0.58 6 2 50.00 0.58
Sri Lanka 1027 35 3.53 9 0 0.00 0.88
Latvia 1012 3 0.30 21 2 10.53 2.08

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 352845 1474 0.42 28558 219 0.77 8.09 18137.81 1468.01 1 in 55
New Jersey 149356 1116 0.75 10587 148 1.42 7.09 16815.22 1191.94 1 in 59
Illinois 98030 1545 1.60 4379 145 3.42 4.47 7736.06 345.57 1 in 129
Massachusetts 87925 873 1.00 5938 76 1.30 6.75 12651.98 854.45 1 in 79
California 83752 2295 2.82 3403 124 3.78 4.06 2119.65 86.13 1 in 472
Pennsylvania 67311 642 0.96 4628 113 2.50 6.88 5257.85 361.51 1 in 190
Michigan 52350 435 0.84 5017 102 2.08 9.58 5241.89 502.36 1 in 191
Texas 50552 1375 2.80 1388 38 2.81 2.75 1743.42 47.87 1 in 574
Florida 46944 502 1.08 2052 55 2.75 4.37 2185.71 95.54 1 in 458
Maryland 41546 1784 4.49 2081 58 2.87 5.01 6872.01 344.21 1 in 146
Georgia 38855 572 1.49 1675 26 1.58 4.31 3659.55 157.76 1 in 273
Connecticut 38430 314 0.82 3472 22 0.64 9.03 10778.94 973.83 1 in 93
Louisiana 35038 329 0.95 2581 18 0.70 7.37 7537.01 555.20 1 in 133
Virginia 32145 1005 3.23 1042 27 2.66 3.24 3766.03 122.08 1 in 266
Ohio 28952 498 1.75 1720 63 3.80 5.94 2476.84 147.15 1 in 404
Indiana 28705 450 1.59 1824 59 3.34 6.35 4263.82 270.94 1 in 235
Colorado 22482 280 1.26 1257 33 2.70 5.59 3903.98 218.28 1 in 256
North Carolina 19239 32 0.17 693 0 0.00 3.60 1834.37 66.07 1 in 545
Washington 18811 200 1.07 1031 29 2.89 5.48 2470.29 135.39 1 in 405
Tennessee 18412 401 2.23 305 4 1.33 1.66 2694.50 44.64 1 in 371
Minnesota 17029 657 4.01 757 17 2.30 4.45 3019.52 134.23 1 in 331
Iowa 15296 341 2.28 367 12 3.38 2.40 4848.07 116.32 1 in 206
Arizona 14576 368 2.59 705 18 2.62 4.84 1914.14 92.58 1 in 522
Rhode Island 12951 156 1.22 532 26 5.14 4.11 12225.29 502.19 1 in 82
Wisconsin 12885 198 1.56 467 8 1.74 3.62 2212.99 80.21 1 in 452
Alabama 12376 290 2.40 504 15 3.07 4.07 2524.07 102.79 1 in 396
Mississippi 11704 272 2.38 554 27 5.12 4.73 3932.60 186.15 1 in 254
Missouri 11393 151 1.34 631 20 3.27 5.54 1856.32 102.81 1 in 539
Nebraska 10854 229 2.16 123 0 0.00 1.13 5611.02 63.59 1 in 178
South Carolina 9056 114 1.27 399 8 2.05 4.41 1758.89 77.50 1 in 569
Kansas 8353 50 0.60 199 1 0.51 2.38 2867.18 68.31 1 in 349
Kentucky 8069 134 1.69 366 20 5.78 4.54 1806.09 81.92 1 in 554
Delaware 8037 168 2.13 304 7 2.36 3.78 8253.54 312.19 1 in 121
Utah 7518 134 1.81 88 8 10.00 1.17 2345.01 27.45 1 in 426
District of Columbia 7434 164 2.26 400 8 2.04 5.38 10533.49 566.77 1 in 95
Nevada 7096 35 0.50 358 0 0.00 5.05 2303.78 116.23 1 in 434
New Mexico 6192 96 1.57 276 6 2.22 4.46 2953.03 131.63 1 in 339
Oklahoma 5489 91 1.69 293 5 1.74 5.34 1387.17 74.05 1 in 721
Arkansas 4923 110 2.29 102 2 2.00 2.07 1631.31 33.80 1 in 613
South Dakota 4085 58 1.44 46 2 4.55 1.13 4617.60 52.00 1 in 217
Oregon 3726 39 1.06 140 2 1.45 3.76 883.41 33.19 1 in 1132
New Hampshire 3721 69 1.89 172 0 0.00 4.62 2736.61 126.50 1 in 365
Puerto Rico 2805 95 3.51 124 0 0.00 4.42 878.29 38.83 1 in 1139
Idaho 2455 0 0.00 74 0 0.00 3.01 1369.93 41.29 1 in 730
North Dakota 1994 63 3.26 45 1 2.27 2.26 2616.59 59.05 1 in 382
Maine 1741 28 1.63 73 2 2.82 4.19 1295.18 54.31 1 in 772
West Virginia 1502 0 0.00 68 0 0.00 4.53 840.45 38.05 1 in 1190
Vermont 944 4 0.43 54 0 0.00 5.72 1512.85 86.54 1 in 661
Wyoming 776 10 1.31 10 0 0.00 1.29 1340.80 17.28 1 in 746
Hawaii 641 1 0.16 17 0 0.00 2.65 452.72 12.01 1 in 2209
Montana 471 1 0.21 16 0 0.00 3.40 440.69 14.97 1 in 2269
Alaska 400 12 3.09 10 0 0.00 2.50 546.79 13.67 1 in 1829

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 1467739 352845 24.04 75448.35
New Jersey 520182 149356 28.71 58564.61
Illinois 621684 98030 15.77 49060.35
Massachusetts 476940 87925 18.44 68629.37
California 1339316 83752 6.25 33896.25
Pennsylvania 349700 67311 19.25 27316.07
Michigan 422904 52350 12.38 42346.06
Texas 744937 50552 6.79 25691.13
Florida 715855 46944 6.56 33330.09
Maryland 208658 41546 19.91 34513.57
Georgia 378156 38855 10.27 35616.55
Connecticut 185520 38430 20.71 52035.08
Louisiana 278073 35038 12.60 59816.16
Virginia 202789 32145 15.85 23758.25
Ohio 277602 28952 10.43 23748.79
Indiana 189330 28705 15.16 28122.97
Colorado 131333 22482 17.12 22805.87
North Carolina 265008 19239 7.26 25267.53
Washington 289135 18811 6.51 37969.67
Tennessee 346123 18412 5.32 50653.33
Minnesota 161835 17029 10.52 28696.02
Iowa 107648 15296 14.21 34119.05
Arizona 161571 14576 9.02 21217.76
Rhode Island 117246 12951 11.05 110676.15
Wisconsin 161122 12885 8.00 27672.62
Alabama 157566 12376 7.85 32135.44
Mississippi 117760 11704 9.94 39567.91
Missouri 154110 11393 7.39 25109.87
Nebraska 69984 10854 15.51 36178.51
South Carolina 135063 9056 6.71 26232.38
Kansas 66990 8353 12.47 22994.43
Kentucky 153986 8069 5.24 34466.71
Delaware 44132 8037 18.21 45321.04
Utah 174022 7518 4.32 54280.81
District of Columbia 39374 7434 18.88 55790.37
Nevada 87555 7096 8.10 28425.51
New Mexico 137620 6192 4.50 65632.44
Oklahoma 139147 5489 3.94 35165.03
Arkansas 93701 4923 5.25 31049.18
South Dakota 29709 4085 13.75 33582.43
Oregon 99720 3726 3.74 23643.01
New Hampshire 49474 3721 7.52 36385.67
Puerto Rico 2805 2805 100.00 878.29
Idaho 38069 2455 6.45 21243.09
North Dakota 57731 1994 3.45 75756.30
Maine 23833 1741 7.30 17730.09
West Virginia 78301 1502 1.92 43813.41
Vermont 24591 944 3.84 39409.35
Wyoming 17850 776 4.35 30841.85
Hawaii 45023 641 1.42 31798.78
Montana 28950 471 1.63 27087.01
Alaska 36380 400 1.10 49730.37

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 37136 2078 5.93 9639 25.96 26172 1325 76 6.08 3.57
Tamil Nadu 12448 688 5.85 4895 39.32 7468 85 3 3.66 0.68
Gujarat 12141 395 3.36 5043 41.54 6379 719 25 3.60 5.92
Delhi 10554 500 4.97 4750 45.01 5638 166 6 3.75 1.57
Rajasthan 5845 216 3.84 3337 57.09 2365 143 4 2.88 2.45
Madhya Pradesh 5465 229 4.37 2631 48.14 2576 258 6 2.38 4.72
Uttar Pradesh 4926 321 6.97 2918 59.24 1885 123 5 4.24 2.50
West Bengal 2961 136 4.81 1074 36.27 1637 250 6 2.46 8.44
Andhra Pradesh 2489 57 2.34 1621 65.13 816 52 2 4.00 2.09
Punjab 2002 22 1.11 1642 82.02 322 38 1 2.70 1.90
Telangana 1634 42 2.64 1011 61.87 585 38 4 11.76 2.33
Bihar 1573 150 10.54 517 32.87 1047 9 0 0.00 0.57
Karnataka 1395 149 11.96 543 38.92 811 40 3 8.11 2.87
Jammu and Kashmir 1317 28 2.17 647 49.13 653 17 2 13.33 1.29
State Unassigned 1096 282 34.64 0 0.00 1096 0 0 NaN 0.00
Odisha 978 102 11.64 307 31.39 666 5 1 25.00 0.51
Haryana 964 36 3.88 627 65.04 323 14 0 0.00 1.45
Kerala 643 12 1.90 497 77.29 142 4 0 0.00 0.62
Jharkhand 248 20 8.77 127 51.21 118 3 0 0.00 1.21
Chandigarh 199 3 1.53 57 28.64 139 3 0 0.00 1.51
Tripura 169 4 2.42 116 68.64 53 0 0 NaN 0.00
Assam 158 42 36.21 42 26.58 110 4 0 0.00 2.53
Uttarakhand 111 15 15.62 52 46.85 58 1 0 0.00 0.90
Chhattisgarh 100 5 5.26 59 59.00 41 0 0 NaN 0.00
Himachal Pradesh 92 2 2.22 47 51.09 38 4 1 33.33 4.35
Goa 46 8 21.05 7 15.22 39 0 0 NaN 0.00
Ladakh 43 0 0.00 43 100.00 0 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Puducherry 22 5 29.41 10 45.45 12 0 0 NaN 0.00
Meghalaya 13 0 0.00 12 92.31 0 1 0 0.00 7.69
Manipur 7 0 0.00 2 28.57 5 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 596355 85481 462 0.54 14.33 4426 244 27291 15597 18.25
Piemonte 258489 29727 108 0.36 11.50 1579 96 9635 3679 12.38
Emilia-Romagna 268200 27314 47 0.17 10.18 670 99 5330 3997 14.63
Veneto 523800 18997 47 0.25 3.63 259 18 3754 1820 9.58
Toscana 209161 9968 7 0.07 4.77 190 56 2323 992 9.95
Liguria 83593 9257 66 0.72 11.07 338 22 2264 1376 14.86
Lazio 213877 7505 20 0.27 3.51 1124 74 3786 640 8.53
Marche 89985 6675 -3 -0.04 7.42 144 17 2128 986 14.77
Campania 147225 4707 12 0.26 3.20 330 17 1518 399 8.48
Puglia 93834 4396 10 0.23 4.68 247 22 1941 473 10.76
P.A. Trento 70691 4358 7 0.16 6.16 42 8 204 455 10.44
Sicilia 122040 3403 8 0.24 2.79 125 12 1524 268 7.88
Friuli Venezia Giulia 105656 3203 5 0.16 3.03 76 2 600 320 9.99
Abruzzo 58945 3197 4 0.13 5.42 188 6 1389 389 12.17
P.A. Bolzano 55526 2587 5 0.19 4.66 46 6 308 291 11.25
Umbria 57822 1427 3 0.21 2.47 25 2 66 74 5.19
Sardegna 44413 1354 1 0.07 3.05 71 9 341 126 9.31
Valle d’Aosta 12663 1175 1 0.09 9.28 26 1 49 143 12.17
Calabria 57310 1153 2 0.17 2.01 50 2 382 95 8.24
Molise 11592 422 0 0.00 3.64 9 2 212 22 5.21
Basilicata 23347 393 1 0.26 1.68 26 1 84 27 6.87

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 44206 570 1.31 3648 51 1.42 8.25 5177.76 427.28 1 in 193
Ontario 24755 469 1.93 2032 13 0.64 8.21 1682.66 138.12 1 in 594
Alberta 6716 33 0.49 128 0 0.00 1.91 1521.82 29.00 1 in 657
British Columbia 2446 2 0.08 146 3 2.10 5.97 478.58 28.57 1 in 2090
Nova Scotia 1044 1 0.10 56 1 1.82 5.36 1068.08 57.29 1 in 936
Saskatchewan 599 7 1.18 7 0 0.00 1.17 506.91 5.92 1 in 1973
Manitoba 290 0 0.00 7 0 0.00 2.41 210.52 5.08 1 in 4750
Newfoundland and Labrador 260 0 0.00 3 0 0.00 1.15 498.69 5.75 1 in 2005
New Brunswick 120 0 0.00 0 0 NaN 0.00 153.85 0.00 1 in 6500
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1590 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1055 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 945 13 1.38
Jiangxi 937 1 0.11
Shandong 788 7 0.89
Shanghai 666 7 1.05
Jiangsu 653 0 0.00
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 356 1 0.28
Hebei 328 6 1.83
Shaanxi 308 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 216 1 0.46
Shanxi 198 0 0.00
Tianjin 192 3 1.56
Yunnan 185 2 1.08
Hainan 169 6 3.55
Jilin 151 2 1.32
Liaoning 149 2 1.34
Guizhou 147 2 1.36
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 4671.66 280.93 1 in 214
Russia 2075.72 19.63 1 in 482
Brazil 1299.02 85.92 1 in 770
United Kingdom 3764.87 533.14 1 in 266
Spain 4972.93 595.33 1 in 201
Italy 3748.33 531.89 1 in 267
France 2700.90 418.35 1 in 370
Germany 2147.34 97.61 1 in 466
Turkey 1876.19 51.96 1 in 533
Iran 1535.28 87.72 1 in 651
India 79.52 2.47 1 in 12576
Peru 3092.42 90.58 1 in 323
China 60.65 3.35 1 in 16488
Canada 2141.34 160.36 1 in 467
Saudi Arabia 1817.06 9.99 1 in 550
Belgium 4893.95 798.95 1 in 204
Mexico 420.63 43.85 1 in 2377
Chile 2746.76 28.20 1 in 364
Netherlands 2587.25 333.76 1 in 387
Pakistan 223.18 4.77 1 in 4481

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 193821 20887 10.78
Cook Illinois 64691 2980 4.61
Los Angeles California 39573 1913 4.83
Nassau New York 39295 2060 5.24
Suffolk New York 38327 1772 4.62
Westchester New York 32402 1298 4.01
Philadelphia Pennsylvania 20132 1109 5.51
Middlesex Massachusetts 19504 1436 7.36
Wayne Michigan 19292 2275 11.79
Hudson New Jersey 18679 1082 5.79
Bergen New Jersey 17522 1474 8.41
Suffolk Massachusetts 16825 797 4.74
Essex New Jersey 16747 1566 9.35
Miami-Dade Florida 15942 578 3.63
Passaic New Jersey 15371 842 5.48
Union New Jersey 15031 977 6.50
Middlesex New Jersey 14834 903 6.09
Fairfield Connecticut 14522 1160 7.99
Rockland New York 12798 611 4.77
Essex Massachusetts 12748 797 6.25
Prince George’s Maryland 12240 445 3.64
New Haven Connecticut 10427 838 8.04
Orange New York 9988 419 4.20
Harris Texas 9859 207 2.10
Worcester Massachusetts 9582 597 6.23
Providence Rhode Island 9112 0 0.00
Hartford Connecticut 9050 1090 12.04
Montgomery Maryland 8950 503 5.62
Marion Indiana 8541 497 5.82
Oakland Michigan 8078 928 11.49
Ocean New Jersey 8067 643 7.97
Fairfax Virginia 8020 292 3.64
Dallas Texas 7904 191 2.42
Norfolk Massachusetts 7565 735 9.72
King Washington 7565 534 7.06
Maricopa Arizona 7482 339 4.53
Monmouth New Jersey 7470 520 6.96
District of Columbia District of Columbia 7434 400 5.38
Plymouth Massachusetts 7198 470 6.53
Jefferson Louisiana 7095 429 6.05
Orleans Louisiana 6869 494 7.19
Lake Illinois 6709 221 3.29
Broward Florida 6369 282 4.43
Macomb Michigan 6367 753 11.83
DuPage Illinois 6171 315 5.10
Morris New Jersey 6100 572 9.38
Bristol Massachusetts 6080 330 5.43
Montgomery Pennsylvania 6063 575 9.48
Riverside California 6053 270 4.46
San Diego California 6026 222 3.68

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc